The VictoriaMetrics Observability Blog
Read Our Technical & Business Content on Monitoring Solutions & Time Series Databases
Tag:

performance

How to reduce expenses on monitoring: Swapping in VictoriaMetrics for Prometheus

by Roman Khavronenko on Feb 13, 2024

This blog post is the first in the series of the blog posts based on the talk about ‘How to reduce expenses on monitoring’, stackconf 2023. It is about open-source instruments and techniques from theVictoriaMetrics ecosystem for improving cost-efficiency of monitoring.

Read

Performance optimization techniques in time series databases: sync.Pool for CPU-bound operations

by Roman Khavronenko / Aliaksandr Valialkin on Dec 8, 2023

This blog post is the fourth in the series of blog posts based on the talk about ‘Performance optimizations in Go’, GopherCon 2023. It is dedicated to various optimization techniques used in VictoriaMetrics for improving performance and resource usage.

Read

Performance optimization techniques in time series databases: Limiting concurrency

by Roman Khavronenko / Aliaksandr Valialkin on Nov 24, 2023

This blog post is a third in the series of the blog posts based on the talk about ‘Performance optimizations in Go’, GopherCon 2023. It is dedicated to various optimization techniques used in VictoriaMetrics for improving performance and resource usage.

Read

Performance optimization techniques in time series databases: function caching

by Roman Khavronenko / Aliaksandr Valialkin on Nov 17, 2023

This blog post is a second in the series of the blog posts based on the talk about ‘Performance optimizations in Go’, GopherCon 2023. It is dedicated to various optimization techniques used in VictoriaMetrics for improving performance and resource usage.

Read

Performance optimization techniques in time series databases: strings interning

by Roman Khavronenko / Aliaksandr Valialkin on Nov 7, 2023

This blog post is a first in the series of the blog posts based on the talk about ‘Performance optimizations in Go’, GopherCon 2023. It is dedicated to various optimization techniques used in VictoriaMetrics for improving performance and resource usage.

Read

Cardinality explorer

by Dmytro Kozlov on Oct 4, 2022

In monitoring, the term cardinality defines the number of unique time series stored in TSDB. The higher is cardinality, the more resources are usually required for metrics processing and querying. Let’s see how Cardinality explorer can help us here.

Read

Watch Your Monitoring SkyRocket With VictoriaMetrics!